Dental caries are a significant public health problem it is a disease with multifactorial causes in sub sahara africa ethiopia is one of the countries with a high record of dental caries this study was to determine the risk factors affecting dental caries using both bayesian and classical approaches the study design was a retrospective cohort study in the period of march 2009 to march . Dental research gives rise to data with potentially complex correlation structure assessments of dental caries yields a binary outcome indicating the presence or absence of caries experience for each surface of each tooth in a subjects mouth in addition to this nesting caries outcome exhibit spatial structure among neighboring teeth. Analysis of clustered spatially correlated binary data using autologistic model and bayesian method with an application to dental caries of 3 5 year old children. Section 4 proposes bayesian inference using pseudolikelihood to estimate model parameters and prediction section 5 applies the spatial autologistic regression model to the dental caries data and uses bayesian model selection tools to determine the best model. Garcia zattera et al 2007 analyzed the caries experience data with the conditionally specified logistic regression model joe and liu 1996 and a multivariate probit model chib and greenberg
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